A k-Dense-UNet for Biomedical Image Segmentation.
Zhiwen QiangShikui TuLei XuPublished in: IScIDE (1) (2019)
Keyphrases
- image segmentation
- multiscale
- graph cuts
- image analysis
- deformable models
- method for image segmentation
- markov random field
- image processing
- biomedical literature
- level set method
- region growing
- gray level
- text mining
- active contours
- markov random field model
- energy function
- contour detection
- boundary detection
- segmentation algorithm
- unsupervised image segmentation
- image segmentation algorithm
- pairwise
- information extraction
- energy functional
- object segmentation
- fuzzy c means
- shape prior
- graph partitioning
- energy minimization
- segmented images
- medical imaging
- stereo correspondence
- region segmentation
- higher order
- mean shift
- segmentation method
- probabilistic relaxation
- level set
- computer vision